radial basis kernel function 径向基核函数
radial primary kernel function 径向基核函数
The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel.
首先，用具有RBF核函数的LS-SVM离线建立被控对象的非线性模型；
The different classification kernel functions are compared, and analysis shows that the radial base function most suits the corn leaf disease classification recognition.
不同的分类核函数的相互比较分析表明，径向基核函数最适合玉米病害的分类识别。
Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.
接着分别针对径向基核函数和多项式核函数进行多次实验，分析这两种核函数对过滤算法的影响。
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